Multi-Agent System-based Distributed Energy Management in Smart Grid under Uncertainty

2019 ◽  
Author(s):  
Md Habib Ullah ◽  
Anas Alseyat ◽  
Jae-Do Park
Keyword(s):  
Smart Grid ◽  
Energy Management ◽  
Multi Agent System ◽  
Distributed Energy ◽  
Agent System ◽  
Distributed Energy Management ◽  
Multi Agent

Fuzzy-Based Multi-Agent System for Distributed Energy Management in Smart Grids

2016 ◽  
Vol 24 (05) ◽  
pp. 781-803 ◽  
Author(s):  
Bharat Menon Radhakrishnan ◽  
Dipti Srinivasan ◽  
Rahul Mehta
Keyword(s):  
Energy Management ◽  
Smart Grids ◽  
Test System ◽  
Small Scale ◽  
Multi Agent System ◽  
Distributed Energy ◽  
Agent System ◽  
Renewable Sources ◽  
Distributed Energy Management ◽  
Multi Agent

Energy Management Systems have become an imperative aspect of smart grids, owing to the enormous challenges imposed due to real-time pricing, distributed generation and integration of intermittent renewables. Due to the uncertainty associated with renewable sources and prominent fluctuations in the load demand, it is extremely important to maintain the overall energy balance in such grids. In this paper, the distributed energy management is achieved using a Multi-agent System which provides a flexible and reliable solution to control and manage smart grids. Adaptive fuzzy systems are designed to instill intelligent decision making capability in the agents of multi-agent system. When renewable sources are inadequate, the sustainability of the system is not guaranteed and multi-agent system is capable of deciding the mode of operation such that the system reliability and performance is not compromised. The proposed algorithm maintains power balance in the system and also sustains desired values for the State of Charge of storage units in order to guarantee extended battery life. The Energy management system also implements a cost optimization algorithm based on the Particle Swarm Optimization technique, to minimize operating costs and maximize profits earned by the grid. The proposed energy management algorithm is tested and validated on a practical test system which inherits most of the features of a small-scale smart grid.

An improved energy management method based on combination of multi agent system and fuzzy logic

2020 ◽  
Vol 92 (3) ◽  
pp. 30902
Author(s):  
Basma Aoukach ◽  
Benyounes Oukarfi
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Multi Agent System ◽  
Energy Management Strategy ◽  
Agent System ◽  
Photovoltaic Panel ◽  
Distributed Energy Management ◽  
Multi Agent

This paper presents a distributed energy management strategy based on a combination of multi agent system (MAS) and fuzzy logic (FL). Our system is composed of two renewable energy sources which are a photovoltaic panel, wind turbine, storage system and a variable loads. These elements are linked between them through switches. This improved technique allows the control of switches to manage the energy flow between sources and established load priority. MAS consider each element of the system as an agent, one of them is called execution agent that controls switches based on the paradigm of fuzzy logic (FL). The results of this approach are presented, discussed then followed by a simulation.

Implementation of an energy management algorithm in DC MGs using multi‐agent system

2018 ◽  
Vol 29 (4) ◽  
pp. e2790 ◽  
Author(s):  
Emad G. Shehata ◽  
Maged S. Gaber ◽  
Khalil Ali Ahmed ◽  
Gerges M. Salama
Keyword(s):  
Energy Management ◽  
Multi Agent System ◽  
Agent System ◽  
Management Algorithm ◽  
Multi Agent

Renewable Energy Management with a Multi-Agent System

2015 ◽  
Vol 4 (3) ◽  
pp. 49-59
Author(s):  
Wahiba Ben Abdessalem ◽  
Sami Karaa ◽  
Amira S. Ashour
Keyword(s):  
Renewable Energy ◽  
Energy Management ◽  
Energy Generation ◽  
Multi Agent System ◽  
Renewable Electricity ◽  
Agent System ◽  
World Energy ◽  
Multi Agent ◽  
Electric Generation ◽  
Renewable Energy Generation

Renewable energy generation (Wind, solar …) is rising rapidly around the world. Energy storage is being today realistic with some kind of variable renewable electricity sources such as the Pumped Hydraulic Storage (PHS). The incorporation of the PHS requires different policies since there are a variety of electric generation technologies that can be exploited commonly with the PHS. The energy management system, the scheduling of the generation units is a crucial problem for which adequate solutions can optimize the energy supply. This paper focuses on the applicability of the PHS technology in the development of renewable energy generation in Tunisia. This paper proposes also a multi agent system that can be implemented to simulate the exploitation of the PHS, commonly with other energy sources: conventional energy, wind energy, photovoltaic energy etc.

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